Own retention marketing analytics, design A/B test frameworks, analyze user behavior, and build BI reporting systems to optimize retention spend and strategy. Requires 1+ years analytics experience, advanced SQL, Python, and Tableau.
Salary not listed
Hybrid1+ YOEData Analytics
About the role
Responsibilities
Own retention marketing analytics through segmenting promotional strategies, creating personalized user experiences, and optimizing retention spend
Design frameworks for frequent A/B tests, develop hypotheses, and deliver insights based on results
Analyze user behavior trends and deliver insights with recommended actions
Identify opportunities within customer journeys
Develop data collection, analysis, and business intelligence reporting systems to measure and inform Retention Marketing strategy
Create presentations and written documents with little guidance; present to technical and non-technical audiences
Collaborate with Retention Marketing decision-makers to identify data-driven opportunities and guide strategy
Requirements
1+ years of Data Analytics experience in e-commerce, direct-to-consumer, or retail environment (marketing domain experience preferred)
Advanced knowledge of SQL, including analytic functions, window functions, and common table expressions
1+ years’ experience using data visualization tools (Tableau preferred) and scripting languages (Python)
Advanced ability to draw insights from analysis and communicate them clearly to stakeholders, including senior management
Intellectual curiosity and solid understanding of data sources and ecosystems
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